Kevin Rossi
- Materials Chemistry top 10%
- Renewable Energy, Sustainability and the Environment top 5%
- Catalysis top 5%
- Electrical and Electronic Engineering
- Atmospheric Science top 10%
- Co-authors
- Raffaella BuonsantiFrancesca BalettoClaudio ZeniAldo GlielmoAnna LoiudiceMark A. NewtonDragos StoianAlexander N. Chen
- Topics
- Machine Learning in Materials Science (14 papers)nanoparticles nucleation surface interactions (8 papers)Electrocatalysts for Energy Conversion (7 papers)
- Cited by
- CatalysisRenewable Energy, Sustainability and the EnvironmentProcess Chemistry and Technology
- Partner nations
- SwitzerlandUnited KingdomItaly
In The Last Decade
Kevin Rossi
30 papers receiving 806 citations
Peers
Comparison fields: 5 of 57
- Materials Chemistry 478
- Renewable Energy, Sustainability and the Environment 422
- Catalysis 275
- Electrical and Electronic Engineering 140
- Atmospheric Science 125
Countries citing papers authored by Kevin Rossi
This map shows the geographic impact of Kevin Rossi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kevin Rossi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Rossi more than expected).
Fields of papers citing papers by Kevin Rossi
This network shows the impact of papers produced by Kevin Rossi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kevin Rossi. The network helps show where Kevin Rossi may publish in the future.
Co-authorship network of co-authors of Kevin Rossi
This figure shows the co-authorship network connecting the top 25 collaborators of Kevin Rossi. A scholar is included among the top collaborators of Kevin Rossi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kevin Rossi. Kevin Rossi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 14 | |
| 5 | 5 | |
| 6 | 6 | |
| 7 | 28 | |
| 8 | 119 | |
| 9 | 3 | |
| 10 | 4 | |
| 11 | 0 | |
| 12 | 59 | |
| 13 | 53 | |
| 14 | 11 | |
| 15 | 30 | |
| 16 | 7 | |
| 17 | 23 | |
| 18 | 14 | |
| 19 | 17 | |
| 20 | 1 |
About Kevin Rossi
Kevin Rossi is a scholar working on Catalysis, Structural Biology and Renewable Energy, Sustainability and the Environment, having authored 33 papers that have together received 818 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (14 papers), nanoparticles nucleation surface interactions (8 papers) and Electrocatalysts for Energy Conversion (7 papers). The work is most often cited by research in Catalysis (275 citations), Renewable Energy, Sustainability and the Environment (422 citations) and Process Chemistry and Technology (58 citations). Kevin Rossi has collaborated with scholars based in Switzerland, United Kingdom and Italy. Frequent co-authors include Raffaella Buonsanti, Francesca Baletto, Claudio Zeni, Aldo Glielmo, Anna Loiudice, Mark A. Newton, Dragos Stoian, Alexander N. Chen, Valery Okatenko and Stefano de Gironcoli. Their work appears in journals such as Journal of the American Chemical Society, Advanced Materials and Nature Communications.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.